# What Are Odds? Part II

In the last post, we discussed a suggestion for what probability means. But extending that interpretation to an election is a stretch. In the context of elections, makes more sense to talk about probability from another perspective.

# What Are Odds? Part I

Three days before the most recent presidential election, two forecasters got into a statistics fight on Twitter. They both thought the same candidate would win. So what were they arguing about, exactly?

# On Explaining

I just watched two YouTubers explain binary. To me, one video’s explanation was fine, but the other was great. I’m still pondering this, and I’d like hear your input!

# Lessons From Go Fish

On a family vacation in the Rocky Mountains, my siblings decided to play Go Fish. My brother made a rule: if anyone gets dealt three of the same card (like three 8’s), return your cards and shuffle the deck. My hunch was that a triple isn’t actually so rare. So what are the actual odds of getting a triple if the deck is shuffled randomly? How would you go about figuring that out?

# Number Flavors Part I: Rationals

Rational numbers are simple and useful. You can use them to measure things, like cookies or pieces of paper. But they tend to get obfuscated by a different type of number – one you may have hated in elementary school.

# Trees, Dictionaries, Pickles, and Loops: Part III

In the last few posts, I talked about the relationship between math and computer science. Here are some musings on their differences, and about how math culture and computer science culture work. It’s not authoritative in any way, just based on my experiences trying out both types of activities and talking to people in both […]

# The Four-Color Theorem

Do computers contaminate the fabric of mathematics?
A continuation of “Trees, Dictionaries, Pickles and Loops: Part II.”

# Trees, Dictionaries, Pickles and Loops: Part II

In the last post, we talked about how much computer science involves math. This post is about some of the ways modern math relies on computer science.

# Trees, Dictionaries, Pickles, and Loops: Part I

There is a popular conception of “computer people” as tinkerers – people messing with wires and green chips and silver parts. Or, alternatively, as Hollywood-style hackers, pounding on a keyboard in a dark room, surrounded by beeps and blinking lights.

Math doesn’t usually come to mind when we think about computer science. In reality, the two fields have an incredibly close relationship.